Triple

T781743
Position Surface form Disambiguated ID Type / Status
Subject Hampshire E16510 entity
Predicate hasMilitaryTown P10998 FINISHED
Object Aldershot E60600 NE FINISHED

How this triple was built (3 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Aldershot | Statement: [Hampshire, hasMilitaryTown, Aldershot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aldershot
Context triple: [Hampshire, hasMilitaryTown, Aldershot]
  • A. Aldershot chosen
    Aldershot is a town in Hampshire, England, historically known as a major British Army garrison and military center.
  • B. Woolwich
    Woolwich is a district in southeast London, England, historically significant as a military and industrial hub along the River Thames.
  • C. Maidenhead
    Maidenhead is a large riverside town on the River Thames in Berkshire, England, known as a commuter hub for London with a mix of historic and modern development.
  • D. Camberley
    Camberley is a suburban town in southeast England known for its shopping centre, commuter links to London, and proximity to the Royal Military Academy Sandhurst.
  • E. Basildon
    Basildon is a large town in Essex, England, known as a post-war new town and a major commercial and residential centre within the East of England.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMilitaryTown
Context triple: [Hampshire, hasMilitaryTown, Aldershot]
  • A. hasMilitaryBase
    Indicates that one entity possesses, hosts, or contains a military base associated with or located on another entity.
  • B. garrisonTown chosen
    Indicates that a town serves as a military base or station where armed forces are permanently or regularly housed.
  • C. hasTown
    Indicates that one entity possesses, contains, or is associated with a town as part of its structure, jurisdiction, or composition.
  • D. hasNotableTown
    Indicates that an entity includes or is associated with a town that is considered notable or significant in some way.
  • E. hasMilitaryPresence
    Indicates that a military force is present in, stationed at, or operating within a particular location or entity.
  • F. None of above.

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a90365648190ace53b0f0e87aa68 completed March 1, 2026, 9 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac2578477c8190983de0a1065ad8ec completed March 7, 2026, 1:17 p.m.
PD Predicate disambiguation batch_69a4a50bd23081908908235b8ec9201e completed March 1, 2026, 8:43 p.m.
Created at: March 1, 2026, 7:37 p.m.